Free Neural Network Basics in Python Course
Neural Network Basics in Python
4.58
Intermediate level
17.25 learning hrs
Neural Network Basics in Python course for free helps you move from basic terms to datasets, metrics, and analysis choices, with enough context to see where the skill fits in real tasks.
Instructor:
Sunil Kumar Vuppala
About this course
This free neural network basics in python course is built for students, developers, and hands-on beginners who want the topic explained with context and usable examples. The course introduces setup, syntax, core logic, and debugging in a way that shows how the pieces work together. Instead of treating neural network basics in python as a list of terms, it explains what to look for, how to reason through common tasks, and why the subject appears in real projects, teams, or business decisions.
The course is a good fit if you want to build small working examples and explain the logic behind them. You can use it to prepare for assignments, interviews, workplace conversations, or a first hands-on project depending on your goal. After finishing, you should be able to explain the core idea of neural network basics in python, recognize when it is relevant, and choose a sensible next step such as practice exercises, deeper tools, related frameworks, or a more advanced course.
Course outline
Introduction to Neural Network and Deep learning
Gain foundational knowledge in neural networks and deep learning, understanding the basics of artificial neural networks and their application in solving complex problems.
Introduction to Tensorflow and Keras
Explore the powerful tools of TensorFlow and Keras for building and training neural networks. This course provides a hands-on introduction to these frameworks, essential for deep learning development.
Multilayer Perceptron
Dive deeper into neural network architecture by studying the multilayer perceptron (MLP). Understand how this fundamental structure contributes to the learning capabilities of neural networks.
Back Propagation
Delve into the backpropagation algorithm, a key component in training neural networks. Learn how this optimization technique adjusts weights to minimize errors and enhance the model's predictive accuracy.
Batch Normalisation
Explore the benefits of batch normalization in neural networks. This course covers the normalization technique applied to mini-batches, improving the training process and stability of deep learning models.
Stock Price Prediction using Deep Learning
Apply the knowledge gained in neural networks and deep learning to predict stock prices. This course focuses on using deep learning techniques to analyze historical stock data and make informed predictions in financial markets.
Get access to the complete curriculum once you enroll in the course
4.58
What our learners enjoyed the most
Skill & tools
69% of learners found all the desired skills & tools
Our course instructor
Sunil Kumar Vuppala
Director-Data Science
Data Science Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
How can Neural Network Basics in Python improve interview preparation?
How long does it take to complete this Free Neural Network Basics course?
It is a 13 hour long course, but it is self-paced. Once you enrol, you can take your own time to complete the course.
Neural Network Basics in Python: what should I practice first?
Will I have lifetime access to the free course?
Yes, once you enrol in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can log in and learn whenever you want to.
Is Neural Network Basics in Python better for beginners or experienced learners?
Will I get a certificate after completing this Free Neural Networks course?
Yes, you will get a certificate of completion after completing all the modules and cracking the assessment.
What comes after learning Neural Network Basics in Python online?
How much does this Neural Network Basics in Python course cost?
It is an entirely free course from Great Learning Academy.
How does Neural Network Basics in Python connect with real work?
Is there any limit on how many times I can take this free course?
No. There is no limit. Once you enrol in the Free Neural Network Basics in Python course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
Neural Network Basics in Python: what comparisons make the subject clearer?
In Neural Network Basics in Python, what should beginners understand first?
Neural Network Basics in Python: how does free course learning support practice?
What prerequisites are required to enrol in this Free Neural Network Basics in Python course?
You do not need any prior knowledge to enrol in this Neural Network Basics in Python course.
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